Michael Bender
Impact in
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- Neurobiology and Insect Physiology Research
- Aging top 2%
Papers in
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- Neurobiology and Insect Physiology Research 15
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- Animal Behavior and Reproduction 9
- Co-authors
- David S. Hogness (2 shared papers)William S. Talbot (2 shared papers)William A. Segraves (2 shared papers)Ginger E. Carney (5 shared papers)Michael R. Koelle (1 shared paper)Peter Cherbas (1 shared paper)Farhad Imam (1 shared paper)Margrit Schubiger (1 shared paper)
- Journals
- Development (4 papers)Developmental Biology (3 papers)Genetics (2 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Michael Bender
27 papers receiving 2.3k citations
Michael Bender's Hit Papers
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 1.6k
- Aging 97
- Insect Science 548
- Biochemistry 166
- Ecology, Evolution, Behavior and Systematics 535
Countries citing papers authored by Michael Bender
This map shows the geographic impact of Michael Bender's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Bender with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bender more than expected).
Fields of papers citing papers by Michael Bender
This network shows the impact of papers produced by Michael Bender. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Bender. The network helps show where Michael Bender may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Bender, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The drosophila EcR gene encodes an ecdysone receptor, a new member of the steroid receptor superfamily Hit paper breakdown → | 1991 | 805 |
| 2 | 1997 | 236 | |
| 3 | 1999 | 229 | |
| 4 | 1998 | 196 | |
| 5 | 2000 | 173 | |
| 6 | 2006 | 152 | |
| 7 | 2005 | 77 | |
| 8 | 2000 | 65 | |
| 9 | 1997 | 60 | |
| 10 | 2001 | 48 | |
| 11 | 1987 | 42 | |
| 12 | 2003 | 37 | |
| 13 | 2010 | 33 | |
| 14 | 2010 | 27 | |
| 15 | 1988 | 26 | |
| 16 | 2009 | 16 | |
| 17 | 1999 | 14 | |
| 18 | 2016 | 11 | |
| 19 | 2004 | 10 | |
| 20 | 2022 | 9 |
About Michael Bender
Michael Bender is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Immunology and Genetics, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (15 papers), Animal Behavior and Reproduction (9 papers), Invertebrate Immune Response Mechanisms (6 papers), Insect Utilization and Effects (3 papers), Pneumonia and Respiratory Infections (3 papers), Developmental Biology and Gene Regulation (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Aging (97 citations), Insect Science (548 citations), Biochemistry (166 citations) and Ecology, Evolution, Behavior and Systematics (535 citations). Michael Bender has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include David S. Hogness, William S. Talbot, William A. Segraves, Ginger E. Carney, Michael R. Koelle, Peter Cherbas, Farhad Imam, Margrit Schubiger, James W. Truman and Michael Buszczak. Their work appears in journals such as Development, Developmental Biology, Genetics, Cell and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.